The Role of Phylogenetics as a Tool to Predict the Spread of Resistance-Reference-Cited by-同舟云学术

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The Role of Phylogenetics as a Tool to Predict the Spread of Resistance

Published:2017-10-06 Issue:suppl_9 Volume:216 Page:S820-S823
ISSN:0022-1899
Container-title:The Journal of Infectious Diseases
language:en
Short-container-title:

Author:

Zhukova Anna¹,Cutino-Moguel Teresa²,Gascuel Olivier¹,Pillay Deenan³⁴

Affiliation:

1. Unité Bioinformatique Evolutive, Centre de Bioinformatique, Biostatistique et Biologie Intégrative, C3BI USR 3756 Institut Pasteur et CNRS, France

2. Virology Department, UCLH NHS Foundation Trust, London

3. Division of Infection and Immunity, University College London, United Kingdom

4. Africa Health Research Institute, KwaZulu-Natal, South Africa

Funder

National Institutes of Health

National Institute of Allergy and Infectious Diseases

Wellcome Trust

Centers for Disease Control and Prevention

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

Link

http://academic.oup.com/jid/article-pdf/216/suppl_9/S820/24264811/jix411.pdf

Reference30 articles.

1. Emergence of acquired HIV-1 drug resistance almost stopped in Switzerland: a 15-year prospective cohort analysis;Scherrer;Clin Infect Dis,2016

2. Evolutionary dynamics of complex networks of HIV drug-resistant strains: the case of San Francisco;Smith;Science,2010

3. Transmitted drug resistance in persons with acute/early HIV-1 in San Francisco, 2002-2009;Jain;PLoS One,2010

4. In-depth analysis of HIV-1 drug resistance mutations in HIV-infected individuals failing first-line regimens in West and Central Africa;Villabona-Arenas;AIDS,2016

5. Predicted levels of HIV drug resistance: potential impact of expanding diagnosis, retention, and eligibility criteria for antiretroviral therapy initiation;Cambiano;AIDS,2014

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1. Application of molecular epidemiology in revealing HIV‐1 transmission network and recombination patterns in Tianjin, China;Journal of Medical Virology;2024-07-29

2. Development and validation of a scoring system for the prediction of HIV drug resistance in Hubei province, China;Frontiers in Cellular and Infection Microbiology;2023-05-10

3. Drug resistance mutations in HIV: new bioinformatics approaches and challenges;Current Opinion in Virology;2021-12

4. HIV Drug Resistance and Transmission Networks Among a Justice-Involved Population at the Time of Community Reentry in Washington, D.C.;AIDS Research and Human Retroviruses;2021-12-01

5. Using machine learning and big data to explore the drug resistance landscape in HIV;PLOS Computational Biology;2021-08-26

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